How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios. (arXiv:2210.10039v1 [cs.CV])

In recent years, deep neural networks have demonstrated increasingly strong
abilities to recognize objects and activities in videos. However, as video
understanding becomes widely used in real-world applications, a key
consideration is developing human-centric systems that understand not only the
content of the video but also how it would affect the wellbeing and emotional
state of viewers. To facilitate research in this setting, we introduce two
large-scale datasets with over 60,000 videos manually annotated for emotional
response and subjective wellbeing. …

arxiv video wellbeing